Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Md Fashiar Rahman"'
Autor:
Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho
Publikováno v:
Diagnostics, Vol 14, Iss 16, p 1699 (2024)
The class activation map (CAM) represents the neural-network-derived region of interest, which can help clarify the mechanism of the convolutional neural network’s determination of any class of interest. In medical imaging, it can help medical prac
Externí odkaz:
https://doaj.org/article/478dda27636042f9a84eb847defb046d
Autor:
Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang (Bill) Tseng
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100365- (2022)
Providing timely patient care while maintaining optimal resource utilization is one of the central operational challenges hospitals have been facing throughout the pandemic. Hospital length of stay (LOS) is an important indicator of hospital efficien
Externí odkaz:
https://doaj.org/article/e5f0b52831bf4976a1697e422f92afea
Publikováno v:
International Journal of Systems Science: Operations & Logistics. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3ecec2bd91d02c41fdb4b52eaac58e0
https://doi.org/10.1080/23302674.2022.2075043
https://doi.org/10.1080/23302674.2022.2075043
Autor:
Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng
Publikováno v:
Journal of X-ray science and technology. 30(5)
BACKGROUND: With the emergence of continuously mutating variants of coronavirus, it is urgent to develop a deep learning model for automatic COVID-19 diagnosis at early stages from chest X-ray images. Since laboratory testing is time-consuming and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7874315eb91534242d2b274a4ce178
https://pubmed.ncbi.nlm.nih.gov/35634810
https://pubmed.ncbi.nlm.nih.gov/35634810
Publikováno v:
CIRP Journal of Manufacturing Science and Technology. 33:176-187
The properties of fiber-reinforced composite materials greatly depend on the morphology of reinforcing fibers within the base materials, i.e., spatial uniformity, orientation, and length distribution. Accurately extracting this information in an auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af69cf68f6ec818e4c593901f305a7b
https://doi.org/10.1016/j.cirpj.2021.03.010
https://doi.org/10.1016/j.cirpj.2021.03.010
Publikováno v:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 36
Automatic extraction of filler morphology (size, orientation, and spatial distribution) in Scanning Electron Microscopic (SEM) images is essential in many applications such as automatic quality inspection in composite manufacturing. Extraction of fil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e915b7fc599bd42d3314c0b9d6927c6e
https://doi.org/10.1017/s0890060421000330
https://doi.org/10.1017/s0890060421000330
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdf9e94e8e9fe67a2226331fcc99fb70
https://doi.org/10.2139/ssrn.4068353
https://doi.org/10.2139/ssrn.4068353
Autor:
Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo
Publikováno v:
Journal of Visual Communication and Image Representation. 85:103521
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a575bbb2b6edb8d538b32acca223c0e8
https://doi.org/10.1016/j.jvcir.2022.103521
https://doi.org/10.1016/j.jvcir.2022.103521
Publikováno v:
2018 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99044fcb1a699a1ba15b833ca1a5a9b8
https://doi.org/10.18260/1-2--30842
https://doi.org/10.18260/1-2--30842
Publikováno v:
Measurement. 187:110276
In the Engineering discipline, prognostics play an essential role in improving system safety, reliability and enabling predictive maintenance decision-making. Due to the adoption of emerging sensing techniques and big data analytics tools, data-drive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18a4a34dcdc824624b687e5b89d75c73
https://doi.org/10.1016/j.measurement.2021.110276
https://doi.org/10.1016/j.measurement.2021.110276